Bicycle Rental Business Analysis
This project comprises of combining four datasets using pandas'
concat function
and visualized the findings using matplotlib and
seaborn in order to figure out
the most suitable cities and countries
to build a bicycle rental business.
Philippine Household Income Analysis
I analyzed over 80,000 rows of data and dealth with unclean data by
removing
duplicate elements, and null values using python. Matplotlib
and seaborn helped me
visualize the correlation between data and to
come up with an answer to the question
of which statistic help a team to
improve its chance of winning.
CONTACT ME
rosalesmarclinus@gmail.com
0966-664-4997
Batangas City, Batangas
